DAM Europe 26 Field Report: Conversations from Beyond the Library

What DAM Europe revealed about AI, automation and the next phase of content operations

This year, DAM Europe wasn’t a room full of people questioning whether digital asset management still matters. We all knew it’s still absolutely vital to efficient, modern content ops, perhaps more now than ever before. The library still matters. Metadata, governance, permissions, search, reuse and control still matter. 

But the more interesting conversations in London weren’t only about the library itself. They were about the work happening around it: how content arrives, whether it can be trusted, how it moves through approval and how quickly it can reach the next workflow, market, channel or campaign.

That’s where the pressure now sits. Across conversations at the stand, in the speaking sessions, even at our VIP dinner and around the event, one pattern kept coming back: content is moving faster than the workflows designed to manage it.

Key Themes From DAM Europe

AI was everywhere, but the conversation was more grounded

There was no shortage of AI discussion at DAM Europe. That was expected. What was more useful was the way people talked about it.

The better conversations we had weren’t about AI as theatre. They weren’t full of vague promises about transformation. They were much more precise. People wanted to know where AI could help with metadata quality, video search, rights checks, approval routing, compliance review, localisation and creative iteration. They were trying to separate novelty from operational value.

Experienced DAM and creative operations leaders aren’t short of tools. They’re short of time, clean metadata, reliable handoffs, trusted usage information and workflows that don’t depend on the same few people holding everything together.

Nic Manser heard the same pattern repeatedly in sales conversations. “AI” was often the word people used, but the problem they described was automation. They weren’t asking for an AI strategy in the abstract. They were asking how to remove specific choke points from the way content moves.

This isn’t really what AI can do in theory, more like which parts of the content operation shouldn’t still depend on manual effort.

Manual tagging. Manual search. Manual supplier intake. Manual rights checks. Manual approval chasing. Manual compliance review. Manual reformatting. Most teams can tolerate each of these in isolation. The problem is the compound effect. Together, they create a content operation that’s slower, more expensive and harder to govern than it needs to be.

AI is useful when it helps structure content. Automation is useful when that structure allows work to move.

DAM is being pulled into the middle of the workflow

For years, DAM has often been treated as the place content goes when the work is finished. Creative development happens elsewhere. Review happens elsewhere. Rights information may sit somewhere else entirely. Localisation follows a different process. Campaign preparation happens in another system, another spreadsheet or another team’s inbox. Eventually, the final asset lands in the DAM.

That model is becoming harder to sustain.

George Kilpatrick’s conversations pointed to a useful tension. AI is already being used heavily in creative production, particularly around ideation, storyboarding and faster iteration with clients. That can speed up commissioning and creative development, but it also increases the pressure on everything that follows. If teams can create more concepts, more edits and more versions, the content operation has to absorb that increase. Otherwise, the organisation simply creates more content into the same bottleneck.

This is why DAM is being pulled into the middle of the workflow. It’s no longer enough to know that an asset exists. Teams need to know whether it has the right context attached to it: who created it, which version is current, where it’s approved for use, which rights apply, which claims have been checked and which channel it’s ready for. Increasingly, the provenance of content is becoming more and more important, audiences want to be able to trust their content sources, platforms want their audiences to trust them; If Ai created a file, a scene or even an artifact, very simply, you need to know.

Video makes the weakness visible

Video makes this harder to ignore. A still image can often be managed through metadata, folders, naming conventions and visual review. That doesn’t make it simple, but the object is relatively contained.

Video is different. A video asset contains meaning across time: scenes, dialogue, people, products, locations, music, captions, logos, claims, edits, rights and context. The important information may sit twenty seconds into a clip, across a sequence, or in the relationship between what’s shown and what’s said.

If that meaning isn’t structured, the asset may be stored, but it isn’t fully operational.

That’s where traditional DAM thinking starts to show its limits. The problem isn’t just file size, playback or storage. It’s whether teams can understand, retrieve, govern and reuse what’s inside the media.

At DAM Europe, the more mature AI discussions recognised this. The opportunity isn’t simply to add more metadata to files. It’s to make media understandable enough that workflows can act on it.

Supplier complexity starts before the DAM sees the asset

The modern content operation is no longer contained inside one team. Content arrives from agencies, internal studios, freelancers, local markets, production partners, social teams and specialist suppliers. Each contributor adds speed and flexibility. Each also adds variation.

Different naming conventions. Different metadata habits. Different approval routes. Different rights documentation. Different delivery standards. Different versions of what “final” means.

By the time content reaches the DAM, the problem may already be embedded. The approvals may be scattered. The rights information may be separate. The metadata may be incomplete. The wrong version may already have been copied into five places.

That’s why supplier management is now a content operations issue. It isn’t enough to organise content after the fact. Teams need enough structure at intake to make the asset useful later. That doesn’t mean adding process for the sake of process. It means making sure content arrives with the context required to find it, trust it, approve it, reuse it and move it on.

Compliance is becoming the unresolved workflow problem

One of the sharpest observations from the event came from Philippe Brodeur after a conversation with a content operations exec. The wording was more colourful than we’d use here, but the point was clear: the compliance problem is huge, and very few organisations have properly solved it.

And we all know it’s true! That comment landed because it reflected what many teams were circling around. Compliance is no longer a narrow legal checkpoint. It’s very much a content workflow problem.

Technical specifications, brand rules, usage rights, market requirements, editorial standards, legal review and platform checks are all elements of compliance verification and all determine whether an asset can actually be used. In regulated sectors, retail media, CTV and high-volume video environments, those checks become even more specific. Too often, they happen late. Too often, they depend on manual review. Too often, they sit outside the DAM.

That creates a weak point in the operating model. A library can contain approved assets, but approval doesn’t always mean the content is ready for every market, channel, platform or campaign. If the answers live in spreadsheets, inboxes, legal systems, agency notes or individual memory, the workflow remains fragile.

This is where DAM leaders are being pulled into a broader conversation. The asset doesn’t only need to be findable. It needs to be usable with confidence.

The pressure now sits before, inside and after the DAM

One way to think about the shift is simple. The pressure on DAM now comes from three directions.

Before the DAM, content is being created by more teams, suppliers and markets, often with inconsistent context.

Inside the DAM, assets need to be searchable, governed, permissioned, enriched and trusted.

After the DAM, content needs to move into campaigns, channels, markets and platforms without being rebuilt, rechecked or manually chased. Video, of course makes compliance a whole pot more complex; complexity which many customers reported their systems are not able to manage 

Many organisations have invested heavily in the middle. They’ve built libraries, taxonomies, portals, metadata models and governance structures. Those investments still matter. But the pressure is expanding on either side.

If content arrives without structure, the DAM inherits the chaos. If content leaves without readiness, the business still feels the delay.

The future of DAM (and DAM Teams… And DAM Managers…) won’t be judged only by how well it stores assets. It’ll be judged by how well it supports the work around them.

The next improvements may be specific, not wholesale

Ewan Johnston was speaking about something important in partner conversations: the most useful discussions weren’t always about wholesale system change. They were about fixing specific choke points in the marketing and content workflow.

Many organisations don’t need to start by replacing everything. They need to understand where content loses context, where people are compensating for broken process, and where manual work is hiding inside the operating model.

That may be supplier intake. It may be video search. It may be rights visibility. It may be compliance review. It may be approvals. It may be the handoff from approved asset to live campaign.

The point isn’t to make DAM responsible for everything. The point is to recognise that DAM now sits inside a wider chain of work. If that chain breaks, the library can’t deliver its full value.

What DAM leaders should take from this

DAM Europe confirmed that the category is becoming more operational. This doesn’t mean DAM is being replaced. It means the expectations around DAM are expanding.

The library still matters, but the value of content isn’t created when it’s stored. It’s created when content can be found, trusted, reused, approved and activated without constant manual intervention.

Beyond the library, the next phase of DAM isn’t just more intelligent content. It’s a more intelligent operating model for content.

One that reflects the reality of modern content work: more video, more suppliers, more versions, more compliance, more channels and more pressure to move quickly without losing control.

For DAM and creative operations leaders, this is the conversation to lead next. Not because DAM is less important, but because the work around DAM has become too important to ignore.

A practical next step

If DAM Europe raised questions about your own content workflows, the best starting point may not be a platform conversation. It may be a workflow conversation.

Where does content lose context? Where do teams duplicate work? Where do approvals slow down? Where does compliance happen too late? Where does video become difficult to search, reuse or activate?

Those questions usually reveal the real gaps.

Overcast helps enterprise teams move from fragmented content workflows to structured, intelligent content operations. If you want to explore where those gaps sit in your own DAM and content workflow, speak to us about a DAM Workflow Review.